CodeMyUI
30 seconds of code
Codespace
Creative Tim Bits
Snipper.ml
Hasty
Creative Tim
Collect UI
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
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Based on our record, Langfuse should be more popular than CodeMyUI. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
CodeMyUI - Handpicked collection of Web Design & UI Inspiration with Code Snippets. - Source: dev.to / over 3 years ago
JS is such a powerful tool it's overwhelming. You can do damn near anything with it! I like to look for inspiration on more aggregate sites, like https://codemyui.com/. Source: almost 5 years ago
CodeMyUI - Handpicked collection of Web Design & UI Inspiration with Code Snippets. - Source: dev.to / almost 5 years ago
Many sample snippets you can even play around with on the website: Https://codemyui.com/. Source: about 5 years ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 14 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 1 month ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 1 month ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 1 month ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
30 seconds of code - JS snippets that you can understand in 30 seconds or less.
Helicone AI - Open-source LLM Observability for Developers
Codespace - A beautiful cross-platform code snippet manager
LangSmith - Build and deploy LLM applications with confidence
Creative Tim Bits - Code snippets for easier coding
LangChain - Framework for building applications with LLMs through composability